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- W4360585588 abstract "Fuzzing is one of the most efficient methods for bug detection. Many companies use fuzzing for their products’ quality improvement. One of the downsides of fuzzing is the execution time. To provide good code coverage fuzzing should be performed long enough. It is a critical problem for regular testing of large code bases. This work aims to extract constant values used in branch conditions. Then develop a special mutation for fuzzing tool, which uses this information to perform better mutations with input buffer and cover program paths faster. Experimental evaluation of the developed method on Google’s OSS-Fuzz project proves the efficiency of the developed method." @default.
- W4360585588 created "2023-03-24" @default.
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- W4360585588 date "2022-12-01" @default.
- W4360585588 modified "2023-10-16" @default.
- W4360585588 title "Improving fuzzing efficiency based on extracted constant values" @default.
- W4360585588 cites W2583649498 @default.
- W4360585588 doi "https://doi.org/10.1109/ispras57371.2022.10076849" @default.
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